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ASL Otty: Signs Language Learn

ASL Otty: Signs Language Learn

RAFAL KAROL LECHOWICZ

Education免费v3.7.1
App Store
评分

4.6

484 条评分

星级

★★★★★

最近更新

2026年5月12日

发布日期

2025年10月2日

更新内容

v3.7.1

We've made some essential bug fixes to enhance your user experience. If you enjoy using our app, please take a moment to leave a review. Your feedback is invaluable to us.

应用信息

开发者
RAFAL KAROL LECHOWICZ
分类
Education
价格
免费
版本
3.7.1
App ID
6753228400

简介

ASL Otty: Signs Language Learning: Learn sign language with ease! Discover the fascinating world of American Sign Language (ASL) with Otty ASL: Signs Language Learning! Our app turns a challenging learning process into a fun game inspired by the world's best practices. Learn ASL with short, effective lessons that fit perfectly into any schedule. Interactive exercises, including videos with native speakers, will help you not just memorize gestures, but understand them and use them in real situations. ASL Otty: Signs Language Learning offers a personalized training plan that adapts to your speed and goals. The built-in AI trainer will evaluate the accuracy of your gestures through the camera and give instant feedback so that you can improve every day. Connect with like-minded people in our secure community, practice your skills, and track your progress. Start your journey into the world of barrier-free communication today! With ASL Otty: Signs Language Learning, sign language becomes accessible to everyone. The ASL Otty: Signs Language Learning app offers auto renewable paid subscriptions for access to all lessons and exercises. The basic version includes only a few free lessons, and to unlock the full content, a subscription must be purchased. The subscription automatically renews, but it can be canceled at any time at the user's discretion. Privacy Policy: https://otty-learning.com/privacypolicy Terms of use: https://otty-learning.com/termsofuse

下载量预测

专业 · 预览

预估总下载量

36K24K69K
保守估计乐观估计

3K

低 / 月

4K

预估 / 月

9K

高 / 月

基于484 条评分
假设评分率1.4%
应用年龄8 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。